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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to feelings of fatigue or exhaustion

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fatigue or exhaustion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holder
    -0.71
     [+
    -0.68
    gate
    -0.68
     (£
    -0.65
    Edit
    -0.64
    include
    -0.64
    zb
    -0.63
    Scale
    -0.62
    holders
    -0.61
    Prov
    -0.61
    POSITIVE LOGITS
     tired
    3.60
     weary
    2.15
     bored
    2.06
     exhausted
    1.95
     fatig
    1.91
     fatigue
    1.51
     sleepy
    1.48
     frustrated
    1.46
     exhaustion
    1.41
     irritated
    1.41
    Activations Density 0.015%

    No Known Activations